Abstract
Crohn’s disease (CD) is a chronic inflammatory bowel disease which can be visualized by magnetic resonance imaging (MRI). For CD grading, several non-invasive MRI based severity scores are known, most prominent the MaRIA and AIS. As these scores rely on manual MRI readings for individual bowel segments by trained radiologists, automated MRI assessment has been more and more focused in recent research. We show on a dataset of 27 CD patients that semi-automatically measured bowel wall thickness (ABWT) and dynamic contrast enhancement (DCE) completely outperform manual scorings: the segmental correlation to the Crohn’s Disease Endoscopic Index of Severity (CDEIS) of ABWT and DCE is significantly higher (r = .78) than that of MaRIA (r = .45) or AIS (r = .51). Also on a per-patient basis, the models with ABWT and DCE show significantly higher correlation (r = .69) to global CDEIS than MaRIA (r = .46).
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References
Mary, J.Y., Modigliani, R.: Development and validation of an endoscopic index of the severity for Crohn’s disease: A Prospective multicentre study. Groupe d’Etudes Therapeutiques des Affections Inflammatoires du Tube Digestif (GETAID). Gut 30, 983–989 (1989)
Rimola, J., Ordas, I., Rodriguez, S., Garcia-Bosch, O., Aceituno, M., Llach, J., Ayuso, C., Ricart, E., Panes, J.: Magnetic resonance imaging for evaluation of Crohn’s disease: validation of parameters of severity and quantitative index of activity. Inflamm. Bowel Dis. 17, 1759–1768 (2011)
Rimola, J., Rodriguez, S., Garcia-Bosch, O., Ordas, I., Ayala, E., Aceituno, M., Pellise, M., Ayuso, C., Ricart, E., Donoso, L., Panes, J.: Magnetic resonance for assessment of disease activity and severity in ileocolonic Crohn’s disease. Gut 58, 1113–1120 (2009)
Steward, M.J., Punwani, S., Proctor, I., Adjei-Gyamfi, Y., Chatterjee, F., Bloom, S., Novelli, M., Halligan, S., Rodriguez-Justo, M., Taylor, S.A.: Non-perforating small bowel Crohn’s disease assessed by MRI enterography: derivation and histopathological validation of an MR-based activity index. Eur. J. Radiol. 81, 2080–2088 (2012)
Schüffler, Peter J., Mahapatra, Dwarikanath, Tielbeek, Jeroen A.W., Vos, Franciscus M., Makanyanga, Jesica, Pendsé, Doug A., Nio, CYung, Stoker, Jaap, Taylor, Stuart A., Buhmann, Joachim M.: A model development pipeline for Crohn’s disease severity assessment from magnetic resonance images. In: Yoshida, H., Warfield, S., Vannier, M.W. (eds.) Abdominal Imaging 2013. LNCS, vol. 8198, pp. 1–10. Springer, Heidelberg (2013)
Tielbeek, J.A.W., Makanyanga, J.C., Bipat, S., Pendse, D.A., Nio, C.Y., Vos, F.M., Taylor, S.A., Stoker, J.: Grading Crohn disease activity with MRI: interobserver variability of MRI features, MRI scoring of severity, and correlation with Crohn disease endoscopic index of severity. Am. J. Roentgenol. 201, 1220–1228 (2013)
Vos, F.M., Tielbeek, J.A.W., Naziroglu, R.E., Li, Z., Schüffler, P.J., Mahapatra, D., Wiebel, A., Lavini, C., Buhmann, J.M., Hege, H., Stoker, J., van Vliet, L.J.: Computational modeling for assessment of IBD: To be or not to be? In: Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, pp. 3974–3977 (2012)
Tielbeek, J.A.W., Vos, F.M., Stoker, J.: A Computer-assisted model for detection of MRI signs of Crohn’s disease activity: future or fiction? Abdom. Imaging 37, 967–973 (2012)
Ziech, M.L., Lavini, C., Caan, M.W., Nio, C.Y., Stokkers, P.C., Bipat, S., Ponsioen, C.Y., Nederveen, A.J., Stoker, J.: Dynamic contrast-enhanced MRI in patients with luminal Crohn’s disease. Eur. J. Radiol. 81, 3019–3027 (2012)
Naziroglu, R.E., Van Vliet, L.J., Vos, F.M.: Measuring and quantifying bowel wall thickening for assessing Crohn’s disease severity. In: VIGOR ++ Workshop 2014 (2014)
Li, Z., Tielbeek, J.A.W., Caan, M.W.A., Ziech, M.L.W., Nio, C.Y., Stoker, J., van Vliet, L.J., Vos, F.M.: Expiration phase template-based motion correction of free-breathing abdominal dynamic contrast enhanced MRI. in submission (2013)
Acknowledgments
This study was partly funded from the European Community’s Seventh Framework Program (FP7/2007-2013): the VIGOR ++ Project (grant agreement nr. 270379).
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Schüffler, P.J. et al. (2014). Semi-automatic Crohn’s Disease Severity Estimation on MR Imaging. In: Yoshida, H., Näppi, J., Saini, S. (eds) Abdominal Imaging. Computational and Clinical Applications. ABD-MICCAI 2014. Lecture Notes in Computer Science(), vol 8676. Springer, Cham. https://doi.org/10.1007/978-3-319-13692-9_12
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DOI: https://doi.org/10.1007/978-3-319-13692-9_12
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